CN112233426B - Bridge real-time early warning method device and system based on RFID and multi-source data - Google Patents
Bridge real-time early warning method device and system based on RFID and multi-source data Download PDFInfo
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
- G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
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- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K17/00—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations
- G06K17/0022—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisions for transferring data to distant stations, e.g. from a sensing device
- G06K17/0029—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisions for transferring data to distant stations, e.g. from a sensing device the arrangement being specially adapted for wireless interrogation of grouped or bundled articles tagged with wireless record carriers
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- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/24—Reminder alarms, e.g. anti-loss alarms
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- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B7/00—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00
- G08B7/06—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00 using electric transmission, e.g. involving audible and visible signalling through the use of sound and light sources
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/065—Traffic control systems for road vehicles by counting the vehicles in a section of the road or in a parking area, i.e. comparing incoming count with outgoing count
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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Abstract
The invention provides a bridge real-time early warning method device and system based on RFID and multi-source data, and relates to the field of bridge monitoring and management. The device is composed of a central processing module, a state sensing device, a video acquisition device, an alarm prompting device, an electronic display device, input and output equipment, an integrated portal frame, an information transmission device, a power supply device, a storage device, an intelligent law enforcement terminal, a vehicle-mounted RFID terminal and an RFID processing terminal. The device integrates RFID processing and excavating technology, can realize bridge state sensing and flow early warning, integrates various functions such as image snapshot, alarm prompt and the like, greatly improves the law enforcement management level of the bridge, and is suitable for large-area popularization and use.
Description
Technical Field
The invention relates to the field of bridge monitoring management, in particular to a bridge real-time early warning method device and system based on RFID and multi-source data, which can dynamically monitor and early warn.
Background
The mountain city is affected by mountain water isolation, the bridge becomes a tie and key of the connection of groups, the bridge operation in the central urban area becomes saturated day by day, the difficulty of bridge maintenance and management is greatly increased, important casualties are easily caused, and the real-time dynamic monitoring and dynamic early warning requirements on the bridge are vigorous. Based on the method, how to develop a bridge real-time early warning device based on multi-element data fusion by using the current multi-element traffic big data fusion mining technology becomes an important point and a difficult point in the field of bridge monitoring management.
Disclosure of Invention
The invention aims to solve the problems of lack of dynamic monitoring and insufficient early warning of the current bridge, and designs a bridge dynamic monitoring management device and system capable of monitoring in real time, dynamically early warning and assisting in decision making.
In order to solve the problems, the invention provides a bridge real-time early warning method device and a system based on RFID and multi-source data, comprising the following steps:
the bridge real-time early warning method device and system based on RFID and multi-source data is characterized in that the device comprises a central processing module, a state sensing device, a video acquisition device, an alarm prompting device, an electronic display device, input and output equipment, an integrated portal frame, an information transmission device, a power supply device, a storage device, an intelligent law enforcement terminal, a vehicle-mounted RFID terminal and an RFID processing terminal.
The integrated portal frame comprises basic member, crossbeam member, and basic member is installed perpendicularly, and crossbeam member is installed perpendicularly on basic member top, and anti-skidding coating and fluorescent coating are all installed to integrated portal frame, are the cavity member, and basic member bottom segment is equipped with USB interface that charges, and traffic sign is installed to crossbeam member, and cavity member internally mounted has cable, optical cable, the plug wire joint in the power supply unit.
The vehicle-mounted RFID terminal consists of a signal transmission antenna, a coupling electronic element and an RFID electronic integrated processing chip, is arranged in an urban vehicle, and sends out an electronic radio frequency signal to the RFID processing terminal in a fixed period; the RFID processing terminal consists of a receiving electronic antenna and an RFID electronic intelligent reader-writer, the RFID processing terminal is arranged on the integrated portal frame, the top of the RFID processing terminal is provided with a light-transmitting glass rainproof cloak, the waterproof light-transmitting plastic film is coated, the RFID processing terminal collects RFID electronic radio frequency signals of vehicles passing through the integrated portal frame monitoring points in real time, license plate IDs are obtained in real time, and the electronic signals are transmitted to the central processing module through the information transmission device.
The central processing module is composed of an intelligent central processing unit, the intelligent central processing unit is matched with a data center of a license plate ID in a storage device after receiving the vehicle ID sent by the RFID processing terminal, and related information such as the type of the vehicle, the license plate number, a driver and the like is obtained, and the bridge traffic volume dynamic early warning is realized through the following algorithm:
step 1: when a vehicle passes through the bridge integrated portal frame RFID processing terminal, the RFID processing terminal transmits vehicle information to the central processing module, obtains the vehicle license plate ID, counts and further calculates the total number of vehicle paths, namely the section traffic volume, in one hour, matches the license plate ID with the vehicle information of the data center in the storage system, further obtains the vehicle license plate number, and meanwhile, the system collects the information of each RFID processing terminal of the remote monitoring point of the bridge, further obtains the section traffic volume of the remote monitoring point of the bridge and specific vehicle license plate information, including the vehicle license plate number and the like. Matching the vehicle license plate numbers of the bridge and the remote monitoring point, counting if the vehicle license plate numbers are simultaneously arranged at the remote diversion point and the bridge, and then passing through the bridge section traffic volume Q of the remote monitoring point Monitoring = M 1 + M 2 + M 3+… + M n (n is the total number of remote monitoring, M n For the traffic volume of the nth remote monitoring point passing through the bridge, the historical traffic volume Q of the cross section of the bridge can be calculated by the RFID processing terminal on the bridge History of ，Q History of =A*Q Monitoring A is a constantBy calculating the historical section traffic volume and the bridge section traffic volume Q passing through the remote monitoring point Monitoring A historical average constant a can be determined;
step 2: the traffic volume of the section of the monitoring point at the far end of the bridge is recorded as Q i (i is the number of the remote monitoring point), M i =b i *Q i ，b i Constant for the ith remote monitoring point, M i For the traffic volume of the ith remote monitoring point passing through the bridge, the historical average traffic volume coefficient b of each remote monitoring point can be calculated according to Step 1 i Q is then Monitoring = M 1 + M 2 + M 3+… + M n= b 1 *Q 1 + b 2 *Q 2+…+ b n *Q n ；
Step 3: recording real-time section traffic quantity Q of bridge Real time ，Q Real time Can be obtained by statistics of RFID processing terminals on the bridge, Q 0 The bridge early warning threshold traffic volume is 80% of the basic traffic capacity of the bridge, the basic traffic capacity is calculated according to the urban road grade and the design vehicle speed, and the bridge section traffic volume predicted according to RFID is Q Prediction = A*Q Real-time monitoring ，Q Real-time monitoring Can be according to Q in Step 2 Monitoring Calculating to obtain;
step 4: if the bridge is in real-time traffic quantity Q Real time >Q 0 Sending an alarm signal to an alarm prompt device and an intelligent law enforcement terminal, and Q Prediction >Q 0 And sending an alarm signal to the alarm prompting device and the intelligent law enforcement terminal, and otherwise, canceling the alarm signal.
The video acquisition device consists of an infrared high-definition camera and a light supplementing lamp, is installed on an integrated portal frame, collects bridge operation data in real time, sends image information to the storage device, and is provided with a glass waterproof canopy at the top end of the infrared high-definition camera to indicate an oiled fluorescent image layer.
The storage device consists of a hard disk and a disk array, is placed in a data machine room of a management department, stores all data information, and stores all bridge three-dimensional models and GIS geographic information data in the hard disk.
The alarm prompting device consists of a tweeter and a red flash lamp, is arranged in an integrated portal frame and management department command center, and emits an alarm sound after receiving an alarm signal, and the red flash lamp is started.
The electronic display device consists of a color LED display screen, is arranged in an integrated portal frame and an administrative department command center, and displays temperature and humidity information, real-time images and bridge section traffic volume Q of the video acquisition device Real time 。
The information transmission device consists of a cable, an optical cable and a plug wire connector and is responsible for information transmission and device power supply.
The input and output equipment consists of a mouse and a keyboard, is placed in a command center of an administrative department, and can inquire any bridge video image and bridge section traffic volume Q Real time 。
The intelligent law enforcement terminal is a mobile law enforcement terminal, and can be used for inquiring the temperature and humidity of the bridge, real-time video images and the traffic quantity Q of the cross section of the bridge in a self-defined manner Real time Remote voice communication
The state sensing device consists of a humidity sensor and a temperature sensor, is arranged on the integrated portal frame, and transmits temperature and humidity signals to the central processing module in real time.
Drawings
Fig. 1 is a system block diagram of a bridge real-time early warning method device and system based on RFID and multi-source data.
Detailed Description
In order to solve the problems, the invention provides a bridge real-time early warning method device and a system based on RFID and multi-source data, comprising the following steps:
the bridge real-time early warning method device and system based on RFID and multi-source data is characterized in that the device comprises a central processing module, a state sensing device, a video acquisition device, an alarm prompting device, an electronic display device, input and output equipment, an integrated portal frame, an information transmission device, a power supply device, a storage device, an intelligent law enforcement terminal, a vehicle-mounted RFID terminal and an RFID processing terminal.
The integrated portal frame comprises basic member, crossbeam member, and basic member is installed perpendicularly, and crossbeam member is installed perpendicularly on basic member top, and anti-skidding coating and fluorescent coating are all installed to integrated portal frame, are the cavity member, and basic member bottom segment is equipped with USB interface that charges, and traffic sign is installed to crossbeam member, and cavity member internally mounted has cable, optical cable, the plug wire joint in the power supply unit.
The vehicle-mounted RFID terminal consists of a signal transmission antenna, a coupling electronic element and an RFID electronic integrated processing chip, is arranged in an urban vehicle, and sends out an electronic radio frequency signal to the RFID processing terminal in a fixed period; the RFID processing terminal consists of a receiving electronic antenna and an RFID electronic intelligent reader-writer, the RFID processing terminal is arranged on the integrated portal frame, the top of the RFID processing terminal is provided with a light-transmitting glass rainproof cloak, the waterproof light-transmitting plastic film is coated, the RFID processing terminal collects RFID electronic radio frequency signals of vehicles passing through the integrated portal frame monitoring points in real time, license plate IDs are obtained in real time, and the electronic signals are transmitted to the central processing module through the information transmission device.
The central processing module is composed of an intelligent central processing unit, the intelligent central processing unit is matched with a data center of a license plate ID in a storage device after receiving the vehicle ID sent by the RFID processing terminal, and related information such as the type of the vehicle, the license plate number, a driver and the like is obtained, and the bridge traffic volume dynamic early warning is realized through the following algorithm:
step 1: when a vehicle passes through the bridge integrated portal frame RFID processing terminal, the RFID processing terminal transmits vehicle information to the central processing module, obtains the vehicle license plate ID, counts and further calculates the total number of vehicle paths, namely the section traffic volume, in one hour, matches the license plate ID with the vehicle information of the data center in the storage system, further obtains the vehicle license plate number, and meanwhile, the system collects the information of each RFID processing terminal of the remote monitoring point of the bridge, further obtains the section traffic volume of the remote monitoring point of the bridge and specific vehicle license plate information, including the vehicle license plate number and the like. Matching the vehicle license plate numbers of the bridge and the remote monitoring point, and if the vehicle license plate numbers are simultaneously arranged at the remote splitting point and the bridgeCounting, the bridge section traffic quantity Q passing through the remote monitoring point Monitoring = M 1 + M 2 + M 3+… + M n (n is the total number of remote monitoring, M n For the traffic volume of the nth remote monitoring point passing through the bridge, the historical traffic volume Q of the cross section of the bridge can be calculated by the RFID processing terminal on the bridge History of ，Q History of =A*Q Monitoring A is a constant, and the historical section traffic quantity and the historical bridge section traffic quantity Q passing through the remote monitoring point are calculated Monitoring A historical average constant a can be determined;
step 2: the traffic volume of the section of the monitoring point at the far end of the bridge is recorded as Q i (i is the number of the remote monitoring point), M i =b i *Q i ，b i Constant for the ith remote monitoring point, M i For the traffic volume of the ith remote monitoring point passing through the bridge, the historical average traffic volume coefficient b of each remote monitoring point can be calculated according to Step 1 i Q is then Monitoring = M 1 + M 2 + M 3+… + M n= b 1 *Q 1 + b 2 *Q 2+…+ b n *Q n ；
Step 3: recording real-time section traffic quantity Q of bridge Real time ，Q Real time Can be obtained by statistics of RFID processing terminals on the bridge, Q 0 The bridge early warning threshold traffic volume is 80% of the basic traffic capacity of the bridge, the basic traffic capacity is calculated according to the urban road grade and the design vehicle speed, and the bridge section traffic volume predicted according to RFID is Q Prediction = A*Q Real-time monitoring ，Q Real-time monitoring Can be according to Q in Step 2 Monitoring Calculating to obtain;
step 4: if the bridge is in real-time traffic quantity Q Real time >Q 0 Sending an alarm signal to an alarm prompt device and an intelligent law enforcement terminal, and Q Prediction >Q 0 And sending an alarm signal to the alarm prompting device and the intelligent law enforcement terminal, and otherwise, canceling the alarm signal.
The video acquisition device consists of an infrared high-definition camera and a light supplementing lamp, is installed on an integrated portal frame, collects bridge operation data in real time, sends image information to the storage device, and is provided with a glass waterproof canopy at the top end of the infrared high-definition camera to indicate an oiled fluorescent image layer.
The storage device consists of a hard disk and a disk array, is placed in a data machine room of a management department, stores all data information, and stores all bridge three-dimensional models and GIS geographic information data in the hard disk.
The alarm prompting device consists of a tweeter and a red flash lamp, is arranged in an integrated portal frame and management department command center, and emits an alarm sound after receiving an alarm signal, and the red flash lamp is started.
The electronic display device consists of a color LED display screen, is arranged in an integrated portal frame and an administrative department command center, and displays temperature and humidity information, real-time images and bridge section traffic volume Q of the video acquisition device Real time 。
The information transmission device consists of a cable, an optical cable and a plug wire connector and is responsible for information transmission and device power supply.
The input and output equipment consists of a mouse and a keyboard, is placed in a command center of an administrative department, and can inquire any bridge video image and bridge section traffic volume Q Real time 。
The intelligent law enforcement terminal is a mobile law enforcement terminal, and can be used for inquiring the temperature and humidity of the bridge, real-time video images and the traffic quantity Q of the cross section of the bridge in a self-defined manner Real time Remote voice communication
The state sensing device consists of a humidity sensor and a temperature sensor, is arranged on the integrated portal frame, and transmits temperature and humidity signals to the central processing module in real time.
When the system works, the state sensing device collects the humidity and temperature signals around the bridge in real time, and the video acquisition device collects the video information of the bridge operation in real time; the hard disk in the storage device can store all data, and simultaneously stores all bridge three-dimensional models and GIS geographic information data; when the vehicle-mounted RFID terminal passes through the bridge integrated portal frame (provided with the RFID processing terminal), vehicle information is collected and counted; real-time collection vehicle of central processing moduleCounting after vehicle ID data, and counting the traffic volume in the period by combining a judging algorithm, if the real-time traffic volume Q of the bridge is Real time >Q 0 Sending an alarm signal to an alarm prompt device and an intelligent law enforcement terminal, and Q Prediction >Q 0 Sending an alarm signal to an alarm prompting device and an intelligent law enforcement terminal, and otherwise, canceling the alarm signal;
when an alarm signal is received, the alarm prompting device sends out alarm sound, and the red flash lamp is started; electronic display device displays temperature and humidity information, real-time images and bridge section traffic volume Q in real time Real time The method comprises the steps of carrying out a first treatment on the surface of the An operator can self-define and select the bridge through the input and output equipment, and inquire temperature and humidity information, real-time images and bridge section traffic quantity Q Real time The method comprises the steps of carrying out a first treatment on the surface of the The management department command center is an information center set by the bridge monitoring management department and is responsible for supervision work; the integrated portal frame can be installed in the bridge entrance, the middle part, the remote road entrance and exit points and other roads according to actual requirements, and can be flexibly installed.
Claims (8)
1. The bridge real-time early warning system based on the RFID and the multi-source data is characterized by comprising a central processing module, a state sensing device, a video acquisition device, an alarm prompting device, an electronic display device, input and output equipment, an integrated portal frame, an information transmission device, a power supply device, a storage device, an intelligent law enforcement terminal, a vehicle-mounted RFID terminal and an RFID processing terminal; the integrated portal frame consists of a basic rod piece and a beam rod piece, wherein the basic rod piece is vertically arranged, the beam rod piece is vertically arranged at the top end of the basic rod piece, the integrated portal frame is provided with an anti-slip coating and a fluorescent coating, the integrated portal frame is a hollow rod piece, the bottom section of the basic rod piece is provided with a USB charging interface, the beam rod piece is provided with a traffic sign board, and the hollow rod piece is internally provided with a cable, an optical cable and a plug wire connector in a power supply device; the vehicle-mounted RFID terminal consists of a signal transmission antenna, a coupling electronic element and an RFID electronic integrated processing chip, is arranged in an urban vehicle, and sends out an electronic radio frequency signal to the RFID processing terminal in a fixed period; the RFID processing terminal consists of a receiving electronic antenna and an RFID electronic intelligent reader-writer, the RFID processing terminal is arranged on the integrated portal frame, a light-transmitting glass rainproof cloak is arranged at the top of the RFID processing terminal, the waterproof light-transmitting plastic film is coated on the surface of the RFID processing terminal, the RFID processing terminal collects RFID electronic radio frequency signals of vehicles passing through the monitoring points of the integrated portal frame in real time, license plate IDs are obtained in real time, and the electronic signals are transmitted to the central processing module through the information transmission device;
the central processing module consists of an intelligent central processing unit, the intelligent central processing unit is matched with a data center of a license plate ID in a storage device after receiving the vehicle ID sent by the RFID processing terminal, and obtains the vehicle type, the license plate number and the driver related information, and the bridge traffic volume dynamic early warning is realized through the following algorithm:
step 1: when a vehicle passes through the integrated portal frame RFID processing terminal of the bridge, the RFID processing terminal transmits vehicle information to the central processing module, obtains the vehicle license plate ID and counts so as to calculate the total number of vehicle paths, namely the section traffic volume, in one hour, matches the license plate ID with the vehicle information of the data center in the storage system so as to obtain the vehicle license plate number, and meanwhile, the system collects the information of each RFID processing terminal of the remote monitoring point of the bridge so as to obtain the section traffic volume of the remote monitoring point of the bridge and the specific vehicle license plate information including the vehicle license plate number; matching the vehicle license plate numbers of the bridge and the remote monitoring point, counting if the vehicle license plate numbers are simultaneously arranged at the remote diversion point and the bridge, and then passing through the bridge section traffic volume Q of the remote monitoring point Monitoring ＝M 1 +M 2 +M 3 +...+M n N is the total number of remote monitoring, mn is the traffic volume of the nth remote monitoring point passing through the bridge, and the historical traffic volume Q of the bridge section can be calculated by the RFID processing terminal on the bridge History of ，Q History of ＝A*Q Monitoring A is a constant, and the historical section traffic quantity and the historical bridge section traffic quantity Q passing through the remote monitoring point are calculated Monitoring A historical average constant a can be determined;
step 2: the traffic volume of the section of the monitoring point at the far end of the bridge is recorded as Q i I is the number of the remote monitoring point, M i ＝b i *Q i ，b i For the ith far endMonitoring point constant, M i For the traffic volume of the ith remote monitoring point passing through the bridge, the historical average traffic volume coefficient b of each remote monitoring point can be calculated according to Step 1 i Q is then Monitoring ＝M 1 +M 2 +M 3 +...+M n ＝b 1 *Q 1 +b 2 *Q 2 +...+b n *Q n ；
Step 3: recording real-time section traffic quantity Q of bridge Real time ，Q Real time Can be obtained by statistics of RFID processing terminals on the bridge, Q 0 The bridge early warning threshold traffic volume is 80% of the basic traffic capacity of the bridge, the basic traffic capacity is calculated according to the urban road grade and the design vehicle speed, and the bridge section traffic volume predicted according to RFID is Q Prediction ＝A*Q Real-time monitoring ，Q Real-time monitoring Can be according to Q in Step 2 Monitoring Calculating to obtain;
step 4: if the bridge is in real-time traffic quantity Q Real time >Q 0 Sending an alarm signal to an alarm prompt device and an intelligent law enforcement terminal, and Q Prediction >Q 0 And sending an alarm signal to the alarm prompting device and the intelligent law enforcement terminal, and otherwise, canceling the alarm signal.
2. The bridge real-time early warning system based on RFID and multi-source data according to claim 1, wherein the video acquisition device consists of an infrared high-definition camera and a light supplementing lamp, is installed on an integrated portal frame, collects bridge operation data in real time and sends image information to the storage device, and a glass waterproof canopy is installed at the top end of the infrared high-definition camera to indicate an oiled fluorescent layer.
3. The bridge real-time early warning system based on RFID and multi-source data according to claim 1, wherein the storage device consists of a hard disk and a disk array, is placed in a data machine room of a management department, stores all data information, and stores all bridge three-dimensional models and GIS geographic information data in the hard disk.
4. The bridge real-time early warning system based on RFID and multi-source data according to claim 1, wherein the alarm prompting device consists of a tweeter and a red flash lamp, the alarm prompting device is arranged in an integrated portal frame and a command center of a management department, and when receiving an alarm signal, the alarm prompting device emits an alarm sound, and the red flash lamp is started.
5. The bridge real-time early warning system based on RFID and multi-source data according to claim 1, wherein the electronic display device consists of a color LED display screen, is installed in an integrated portal frame and a command center of a management department, and displays temperature and humidity information, real-time images and bridge section traffic volume Q of the video acquisition device in real time.
6. The bridge real-time early warning system based on RFID and multi-source data according to claim 1, wherein the information transmission device consists of a cable, an optical cable and a plug wire connector and is responsible for information transmission and device power supply.
7. The bridge real-time early warning system based on RFID and multi-source data according to claim 1, wherein the input and output equipment consists of a mouse and a keyboard, is placed in a command center of an administrative department, and can inquire any bridge video image and bridge section traffic volume Q in real time; the intelligent law enforcement terminal is a mobile law enforcement terminal, and can be used for inquiring the temperature and humidity of the bridge, real-time video images, real-time and remote voice communication of the traffic quantity Q of the section of the bridge.
8. The bridge real-time early warning system based on RFID and multi-source data according to claim 1, wherein the state sensing device consists of a humidity sensor and a temperature sensor, is arranged on an integrated portal frame, and transmits temperature and humidity signals to the central processing module in real time.
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Citations (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5801943A (en) * | 1993-07-23 | 1998-09-01 | Condition Monitoring Systems | Traffic surveillance and simulation apparatus |
| KR20070039691A (en) * | 2005-10-10 | 2007-04-13 | (주) 일신하이텍 | The bridge management system which uses a radio communication network |
| CN102592458A (en) * | 2012-02-07 | 2012-07-18 | 福州大学 | Road traffic flow detection method and system based on RFID (Radio Frequency Identification) |
| CN104298832A (en) * | 2014-10-27 | 2015-01-21 | 东南大学 | Road network traffic flow analytical method based on RFID technology |
| CN206331583U (en) * | 2016-11-03 | 2017-07-14 | 河南北斗卫星导航平台有限公司 | Bridge volume of traffic monitoring system based on video image |
| CN107393301A (en) * | 2017-07-25 | 2017-11-24 | 重庆市市政设计研究院 | A kind of track of vehicle recognition methods based on RFID data |
| CN207216867U (en) * | 2017-10-13 | 2018-04-10 | 苏州科技大学 | A kind of wireless traffic flow quantity detecting system |
| CN108109398A (en) * | 2017-12-28 | 2018-06-01 | 山东易构软件技术股份有限公司 | A kind of overhead expressway Coordinated Ramp Control System and control method |
| CN108898851A (en) * | 2018-06-20 | 2018-11-27 | 东南大学 | Urban road link traffic flow combination forecasting method |
| CN208240057U (en) * | 2018-04-27 | 2018-12-14 | 重庆市市政设计研究院 | A kind of adaptive tail number restricted driving enforcement system of RFID |
| CN109166313A (en) * | 2018-09-10 | 2019-01-08 | 南京市公安局交通管理局 | A kind of spilling method for early warning according to car data excessively |
| CN109215350A (en) * | 2018-11-02 | 2019-01-15 | 重庆大学 | A kind of short-term traffic status prediction method based on RFID electronic license plate data |
| CN110299011A (en) * | 2019-07-26 | 2019-10-01 | 长安大学 | A kind of traffic flow forecasting method of the highway arbitrary cross-section based on charge data |
| CN110517485A (en) * | 2019-08-09 | 2019-11-29 | 大连理工大学 | A kind of Short-time Traffic Flow Forecasting Methods based on Time segments division |
| CN111225189A (en) * | 2020-01-17 | 2020-06-02 | 同济大学 | Middle and small-sized channel bridge monitoring device |
| CN111583649A (en) * | 2020-05-15 | 2020-08-25 | 重庆大学 | Method for predicting characteristic parameters of traffic flow by using RFID (radio frequency identification) space-time data |
| CN111724589A (en) * | 2020-06-03 | 2020-09-29 | 重庆大学 | Multi-source data-based highway section flow estimation method |
| CN111724587A (en) * | 2020-05-27 | 2020-09-29 | 重庆大学 | Traffic flow density parameter extraction method based on RFID technology |
-
2020
- 2020-11-23 CN CN202011323158.4A patent/CN112233426B/en active Active
Patent Citations (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5801943A (en) * | 1993-07-23 | 1998-09-01 | Condition Monitoring Systems | Traffic surveillance and simulation apparatus |
| KR20070039691A (en) * | 2005-10-10 | 2007-04-13 | (주) 일신하이텍 | The bridge management system which uses a radio communication network |
| CN102592458A (en) * | 2012-02-07 | 2012-07-18 | 福州大学 | Road traffic flow detection method and system based on RFID (Radio Frequency Identification) |
| CN104298832A (en) * | 2014-10-27 | 2015-01-21 | 东南大学 | Road network traffic flow analytical method based on RFID technology |
| CN206331583U (en) * | 2016-11-03 | 2017-07-14 | 河南北斗卫星导航平台有限公司 | Bridge volume of traffic monitoring system based on video image |
| CN107393301A (en) * | 2017-07-25 | 2017-11-24 | 重庆市市政设计研究院 | A kind of track of vehicle recognition methods based on RFID data |
| CN207216867U (en) * | 2017-10-13 | 2018-04-10 | 苏州科技大学 | A kind of wireless traffic flow quantity detecting system |
| CN108109398A (en) * | 2017-12-28 | 2018-06-01 | 山东易构软件技术股份有限公司 | A kind of overhead expressway Coordinated Ramp Control System and control method |
| CN208240057U (en) * | 2018-04-27 | 2018-12-14 | 重庆市市政设计研究院 | A kind of adaptive tail number restricted driving enforcement system of RFID |
| CN108898851A (en) * | 2018-06-20 | 2018-11-27 | 东南大学 | Urban road link traffic flow combination forecasting method |
| CN109166313A (en) * | 2018-09-10 | 2019-01-08 | 南京市公安局交通管理局 | A kind of spilling method for early warning according to car data excessively |
| CN109215350A (en) * | 2018-11-02 | 2019-01-15 | 重庆大学 | A kind of short-term traffic status prediction method based on RFID electronic license plate data |
| CN110299011A (en) * | 2019-07-26 | 2019-10-01 | 长安大学 | A kind of traffic flow forecasting method of the highway arbitrary cross-section based on charge data |
| CN110517485A (en) * | 2019-08-09 | 2019-11-29 | 大连理工大学 | A kind of Short-time Traffic Flow Forecasting Methods based on Time segments division |
| CN111225189A (en) * | 2020-01-17 | 2020-06-02 | 同济大学 | Middle and small-sized channel bridge monitoring device |
| CN111583649A (en) * | 2020-05-15 | 2020-08-25 | 重庆大学 | Method for predicting characteristic parameters of traffic flow by using RFID (radio frequency identification) space-time data |
| CN111724587A (en) * | 2020-05-27 | 2020-09-29 | 重庆大学 | Traffic flow density parameter extraction method based on RFID technology |
| CN111724589A (en) * | 2020-06-03 | 2020-09-29 | 重庆大学 | Multi-source data-based highway section flow estimation method |
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